Earticle

초록

영어

RFID (Radio Frequency Identification) has played great important role in tracing and tracking the goods in supply chain management (SCM, where control and automation are very important). The application of RFID technology is able to record the moving path of different objects when they carrying the tags and readers. Thus, large number of information and knowledge are generated when the objects moved from one location to another. Such information and knowledge could be used for decision making such as automation and control. Traditional database does not consider the relationship of different elements of the RFID attributes. This paper introduces an algorithm to discover the frequent moving path of the RFID-equipped objects using graphical mining approaches. A set of experiments are carried out to evaluate the algorithm by using real-life data from a warehouse. It is observed that with the increasing of k , more information will be shown in the graph and the moving path could be discovered according to the weight of the edge.

목차

Abstract
 1. Introduction
 2. RFID-enabled Logistics Graph
 3. Algorithm for Moving Path Discovery
  3.1. Group Tree Data Structure
  3.2. Proposed Algorithm
 4. Experiments and Results Analysis
 5. Conclusion
 References

키워드

저자

• Xuexuan Zhu [ School of Mechanical Engineering Xinyu University, Jiangxi Xinyu 338004, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605